RFA-derived AM/FM rhythm spectrograms, used as handcrafted features or as ViT-BERT inputs, give modest accuracy gains over eGeMAPS and Mel spectrograms on ADReSSo dementia classification, but the reported relative gains are miscomputed.
The overall block diagram illustrat- ing the computation process is shown in Figure 1 and described as follows
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Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment
RFA-derived AM/FM rhythm spectrograms, used as handcrafted features or as ViT-BERT inputs, give modest accuracy gains over eGeMAPS and Mel spectrograms on ADReSSo dementia classification, but the reported relative gains are miscomputed.